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Analyzing regression data with many and/or highly collinear predictor variables, by simultaneously reducing the predictor variables to a limited number of components and regressing the criterion variables on these components (de Jong S. & Kiers H. A. L. (1992) doi:10.1016/0169-7439(92)80100-I). Several rotation and model selection options are provided.
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